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HTML attribute
Known as:
HTML attributes
, Class attribute (HTML)
, Class attribute
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An HTML attribute is a modifier of an HTML element type. An attribute either modifies the default functionality of an element type or provides…
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18 relations
AngularJS
Cascading Style Sheets
HTML element
HTML5
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HTML
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
UNCERTAINTY REDUCTION IN BIG DATA CATALOGUE FOR INFORMATION PRODUCT QUALITY EVALUATION
2018
Corpus ID: 56307657
Big data information technology is the set of methods and means of processing different types of structured and unstructured…
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2018
2018
COMPARISON OF PREDICTION ACCURACY BETWEEN DECISION TREE, NAÏVE BAYES AND K-NN ON WEB PHISING
Sidharta Sidharta
,
A. D. Sano
2018
Corpus ID: 202781545
The objective of this research is to find the best performing predictive model in term of accuracy among three classification…
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2015
2015
EFFICIENT TECHNIQUES FOR PREDICTING SUPPLIERS CHURN TENDENCY IN E-COMMERCE BASED ON WEBSITE ACCESS DATA
Veronica S. Moertini
,
Niko Ibrahim
,
Lionov Lionov
2015
Corpus ID: 73674823
Electronic supplier relationship management (e-SRM) is important in order to maintain strong, long lasting and beneficial…
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2015
2015
CARIM: an efficient algorithm for mining class-association rules with interestingness measures
Loan T. T. Nguyen
,
Bay Vo
,
T. Hong
˜The œinternational Arab journal of information…
2015
Corpus ID: 15439749
Classification based on association rules can often achieve higher accuracy than some traditional rule-based methods such as C4.5…
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2014
2014
Geometric Data Perturbation Approach for Privacy Preserving in Data Stream Mining
Twinkle B Ankleshwaria
,
J. S. Dhobi
2014
Corpus ID: 3020783
Today as we are living in the era of information explosion, it has become very important to find out useful information from…
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2012
2012
A NOVEL TREE BASED CLASSIFICATION
M. Lad
,
R. Mehta
,
Dipti P Rana
2012
Corpus ID: 18059111
Classification is a data mining (DM) technique used to predict or forecast the unknown information using the historical data…
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2011
2011
Privacy leakage in multi-relational learning via unwanted classification models
Hongyu Guo
,
H. Viktor
,
E. Paquet
Conference of the Centre for Advanced Studies on…
2011
Corpus ID: 1556281
Multirelational classification algorithms aim to discover patterns across multiple interlinked tables in a relational database…
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2010
2010
Use of Multiobjective Genetic Algorithms in Feature Selection
N. Spolaôr
,
Ana Carolina Lorena
,
H. Lee
Eleventh Brazilian Symposium on Neural Networks
2010
Corpus ID: 17039147
The intelligent analysis of Databases may be affected by the presence of unimportant features, which motivates the application of…
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2009
2009
An Adaptive Translation of Class Diagram to Relational Database
Wilailuk Kuskorn
,
S. Lekcharoen
International Conference on Information and…
2009
Corpus ID: 8962049
The purpose of this research is to propose an algorithm for translating class diagram into relational database. At first, class…
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1997
1997
Recognizing Reliability of Discovered Knowledge
P. Berka
European Conference on Principles of Data Mining…
1997
Corpus ID: 41857331
When using discovered knowledge for decision making (e.g. classification in the case of machine learning), the question of…
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